Extended Bouc-Wen model identification using shaking table test data of ageing RC bridge piers
Extended Bouc-Wen model identification using shaking table test data of ageing RC bridge piers
In scientific research or engineering design, analysis with a large amount of repeating (e.g. incremental dynamic analysis, fragility analysis) is needed. In this process, low-order models require less computational cost compared with sophisticated finite element models. This paper explores the feasibility of identifying an extended Bouc-Wen model with input ground motion and structural responses of displacement and acceleration recorded in the shaking table tests. The parameters to be estimated are selected based on their sensitivity. A boundary of the unknown parameters is designated based on their physical meaning or empirical values. Genetic algorithm is applied to search for the optimal fitting of the extended Bouc-Wen model. The simulated results are compared with the experimental results in terms of hysteresis and time-varying stiffness/frequency during the test.
Ageing bridge pier, Bouc-Wen model, Model identification, Seismic performance, Shaking table test
7415-7437
Ge, Xiao
dd988f5e-68d1-4eb9-9028-30a4107fcd3e
Liu, Yan Hui
2a72a6bc-9944-4f8c-a4b7-f1fa8e0f1b01
Yang, Yu Qing
3c783eae-3edc-4cab-a8f5-3d2a5a22d070
Alexander, Nicholas A.
544fc8c7-40a4-4e81-aaab-89e78f1a6fc9
Kashani, Mohammad M.
d1074b3a-5853-4eb5-a4ef-7d741b1c025d
Ge, Xiao
dd988f5e-68d1-4eb9-9028-30a4107fcd3e
Liu, Yan Hui
2a72a6bc-9944-4f8c-a4b7-f1fa8e0f1b01
Yang, Yu Qing
3c783eae-3edc-4cab-a8f5-3d2a5a22d070
Alexander, Nicholas A.
544fc8c7-40a4-4e81-aaab-89e78f1a6fc9
Kashani, Mohammad M.
d1074b3a-5853-4eb5-a4ef-7d741b1c025d
Ge, Xiao, Liu, Yan Hui, Yang, Yu Qing, Alexander, Nicholas A. and Kashani, Mohammad M.
(2024)
Extended Bouc-Wen model identification using shaking table test data of ageing RC bridge piers.
Bulletin of Earthquake Engineering, 22, .
(doi:10.1007/s10518-024-02057-x).
Abstract
In scientific research or engineering design, analysis with a large amount of repeating (e.g. incremental dynamic analysis, fragility analysis) is needed. In this process, low-order models require less computational cost compared with sophisticated finite element models. This paper explores the feasibility of identifying an extended Bouc-Wen model with input ground motion and structural responses of displacement and acceleration recorded in the shaking table tests. The parameters to be estimated are selected based on their sensitivity. A boundary of the unknown parameters is designated based on their physical meaning or empirical values. Genetic algorithm is applied to search for the optimal fitting of the extended Bouc-Wen model. The simulated results are compared with the experimental results in terms of hysteresis and time-varying stiffness/frequency during the test.
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Accepted/In Press date: 18 October 2024
e-pub ahead of print date: 7 November 2024
Keywords:
Ageing bridge pier, Bouc-Wen model, Model identification, Seismic performance, Shaking table test
Identifiers
Local EPrints ID: 498326
URI: http://eprints.soton.ac.uk/id/eprint/498326
ISSN: 1570-761X
PURE UUID: 21958367-c149-4757-a1f3-5d01436c7097
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Date deposited: 14 Feb 2025 17:58
Last modified: 15 Feb 2025 03:09
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Contributors
Author:
Xiao Ge
Author:
Yan Hui Liu
Author:
Yu Qing Yang
Author:
Nicholas A. Alexander
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